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Relevant bibliographies by topics / Energy-Efficient Routing (EER)

Academic literature on the topic 'Energy-Efficient Routing (EER)'

Author: Grafiati

Published: 25 May 2024

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Journal articles on the topic "Energy-Efficient Routing (EER)"

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Mutombo, Vially Kazadi, Seungyeon Lee, Jusuk Lee, and Jiman Hong. "EER-RL: Energy-Efficient Routing Based on Reinforcement Learning." Mobile Information Systems 2021 (April 19, 2021): 1–12. http://dx.doi.org/10.1155/2021/5589145.

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Wireless sensor devices are the backbone of the Internet of things (IoT), enabling real-world objects and human beings to be connected to the Internet and interact with each other to improve citizens’ living conditions. However, IoT devices are memory and power-constrained and do not allow high computational applications, whereas the routing task is what makes an object to be part of an IoT network despite of being a high power-consuming task. Therefore, energy efficiency is a crucial factor to consider when designing a routing protocol for IoT wireless networks. In this paper, we propose EER-RL, an energy-efficient routing protocol based on reinforcement learning. Reinforcement learning (RL) allows devices to adapt to network changes, such as mobility and energy level, and improve routing decisions. The performance of the proposed protocol is compared with other existing energy-efficient routing protocols, and the results show that the proposed protocol performs better in terms of energy efficiency and network lifetime and scalability.

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Jayalakshmi, D. S., D. Hemanand, G. Muthu Kumar, and M. Madhu Rani. "An Efficient Route Failure Detection Mechanism with Energy Efficient Routing (EER) Protocol in MANET." International Journal of Computer Network and Information Security 13, no. 2 (April 8, 2021): 16–28. http://dx.doi.org/10.5815/ijcnis.2021.02.02.

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Mobile ad-hoc network (MANET) is a network with two or more number of nodes with restricted energy constraint. The high dynamic nature in MANET attracts needs to consider the energy efficient features in their construct. The routing protocol is an important criterion to be considered for evaluating the performance of the MANET. Energy consumption plays vital role in MANET. Hence designing the scheme that supports energy efficient is much needed for the high dynamic MANET environment concerned. This paper proposes the Energy Efficient Routing (EER) protocol based on efficient route failure detection. The Scope of this paper is to suggest a fresh routing procedure for Mobile Adhoc Network minimizes unsuccessful communication. The projected procedure practices three important criterions to locate the path that assure authentic communication. The channel caliber, connection caliber and node’s residual energy is important reason for the failure of the node in MANET. Hence, the suggested routing mechanism believes these three different parameters to choose the finest node in the route. The reliable transmission and reception are attained by transferring information through route nominated by the suggested system verified by means of NS-2 simulator.

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Lokesh, Deepika, and N. V. Uma Reddy. "Energy Efficient Routing Design for Target Tracking in Wireless Sensor Network." WSEAS TRANSACTIONS ON INFORMATION SCIENCE AND APPLICATIONS 19 (June 21, 2022): 132–37. http://dx.doi.org/10.37394/23209.2022.19.13.

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The wireless sensor networks (WSNs) provides an advance way for connection of various applications. Most of the applications use the wireless sensor network to transmit the information from the device to the main base station. The main operation of the wireless sensor network is to first sense the data using the sensor, then collect the data and finally transmit to the required base station. The data is transmitted in a timely manner such that the other wireless sensor network transmitting the information should not have any problem. During the transmission of the data the main objective of the wireless sensor network device is to provide reliability to the information which is being sent with less latency and to reduce the energy consumption in order to increase the lifespan of the wireless sensor network. Therefore, this paper presents an Energy Efficient Routing for the Target Tracking (EER-TT) in the wireless sensor network which provides reliability, less latency and reduces the energy consumption during the transmission of the information to the base station. Proposed model also provides a cluster selection method for the routing of the wireless sensor network devices. The results attained show that our model EER-TT shows better results when compared with the existing routing-based models.

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Mutombo, Vially Kazadi, Seungyeon Lee, Jusuk Lee, and Jiman Hong. "Corrigendum to “EER-RL: Energy-Efficient Routing Based on Reinforcement Learning”." Mobile Information Systems 2021 (June 4, 2021): 1. http://dx.doi.org/10.1155/2021/9817562.

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Kiani, Farzad. "EER-AL: AN ENERGY EFFICIENT ROUTING PROTOCOL BASED ON AUTOMATED LEARNING METHOD." ICTACT Journal on Communication Technology 9, no. 2 (June 1, 2018): 1798–803. http://dx.doi.org/10.21917/ijct.2018.0263.

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Sivasubramanian, Karthikeyini S., and Shankar S. Subramaniam. "ADAPTIVE ROUTING SCHEME FOR RELIABLE COMMUNICATION IN VEHICULAR AD-HOC NETWORK (VANET)." Transport 35, no. 4 (September 18, 2020): 357–67. http://dx.doi.org/10.3846/transport.2020.12053.

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In a wireless communication system, due to the presence of the surrounding objects, the amplitude of the received signal rapidly changes by reflection, diffraction, and scattering and noise is added to the received signal. This prompts multipath fading and interference, which affects the quality of communication. The proposed Adaptive Routing Scheme (ARS) considers the algorithm Reliable Routing (RR) using Average Bit Error Rate expressed in Nakagami-m fading channel (ABERN-m) to predict the quality of the link, the Energy Efficient Routing (EER) calculates Remaining Battery Energy (RBE) to extend the network lifetime. The Canberra Distance Measure (CDM) is used instead of Euclidean Distance Measure (EDM) to improve the accuracy of distance measurement in mobile nodes. The aim of the proposed scheme is to predict the best optimal path and maintain the consistent path to enhance the Quality of Service (QoS) in real-time communication to improve efficient traffic on the road.

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S.R, Hemanth, and Sanjay Pande M.B. "RELIABLE ROUTING OF EMERGENCY DATA IN WIRELESS BODY AREA NETWORKS UNDER STATIC AND MOBILE SCENARIOS." International Journal of Advanced Research 10, no. 06 (June 30, 2022): 261–76. http://dx.doi.org/10.21474/ijar01/14884.

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Timely intervention can help save precious lives of people who are at risk from chronic diseases or fatal diseases such as cardiac arrest, heart diseases to mention a few. These are the major causes of disability and death across the globe. Continuous monitoring of vital body parameters can be useful in timely intervention which can save the lives of the patients suffering from chronic diseases which can be life threatening, also improve the quality of life. This can be done using Wireless Body Area Networks (WBAN) with sensors placed on human body. This network uses routing protocol to transmit the sensed data packets to the destination node. if the detected information falls into the category of emergency data, It is critical for sensor nodes to transmit data in a reliable and timely manner while consuming as little energy as possible. Existing protocols propose routing methods that classify traffic and prioritize emergency data transmission. However, apart from traffic classification, robust measures to reduce the loss of emergency packets at various levels during transmission have not been adequately addressed. This can reduce the reliability of emergency data, also increasing the traffic load and energy consumption in forwarder nodes. This shortcoming drives us to propose a routing protocol EER-QR (Energy Efficient Routing with QoS and Reliability) which uses specialized modules with measures for a specific task. Experimental results have demonstrated that EER-QR is Capable of reliably transmitting emergency data, minimizing network load and therefore extending network lifetime. This can help with proper diagnosis in such critical situations resulting in timely intervention and treatment saving the lives of patients.

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S. R, Hemanth, and SanjayPande M. B. Dr. "ENERGY EFFICIENT ROUTING PROTOCOL FOR WIRELESS BODY AREA NETWORKS (EER-W) USING COST COMPUTATION AND CONTROLLED HELLO PACKET BROADCAST." Indian Journal of Computer Science and Engineering 12, no. 1 (February 20, 2021): 65–78. http://dx.doi.org/10.21817/indjcse/2021/v12i1/211201152.

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Majumdar, Parijata, Diptendu Bhattacharya, and Sanjoy Mitra. "Data Aggregation Methods for IoT Routing Protocols." ECTI Transactions on Electrical Engineering, Electronics, and Communications 20, no. 3 (October 15, 2022): 339–57. http://dx.doi.org/10.37936/ecti-eec.2022203.247511.

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Agriculture productivity can be enhanced by IoT- enabled real-time monitoring of weather and soil parameters. Increased volume of sensor data demands a significant amount of memory and power. It also overloads the network, making real-time parameter monitoring very difficult. A large volume of sensor data reduces the lifetime and latency of the network, decreasing the overall throughput. Hence, a reduction in data overload becomes necessary for energy optimization of these energy-constrained sensors. Data aggregation is an effective way of optimizing energy consumption by reducing the volume of redundantly sensed data. Data aggregation helps in designing energy-efficient routing algorithms to transmit information by consuming minimum energy to increase the operational period of the network. This paper surveys different routing algorithms for data aggregation with a focus on energy optimization in precision agriculture. The survey includes IPv6 routing protocol for low-power and lossy networks (RPL) to reduce network overload during data transmission, nature-inspired algorithms for energy-optimized intracluster communication, and energy-efficient compressive sensing (CS) to minimize redundant data by aggregation. It also examines duty-cycling algorithms for reducing average energy consumption by periodically placing sensors into the sleep mode during inactive state to save energy. Different performance benchmarks are evaluated to determine the suitability of the routing algorithms in agriculture.

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Nassiri, Mohammad, Mehri Karimi, Reza Mohammadi, and Mehdi Abbasi. "EEARP - an Efficient and Energy Aware Routing Protocol for Underwater Wireless Sensor Networks." ECTI Transactions on Electrical Engineering, Electronics, and Communications 18, no. 2 (August 31, 2020): 145–57. http://dx.doi.org/10.37936/ecti-eec.2020182.222642.

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Recently, Underwater Wireless Sensor Networks (UWSNs) have attracted significant attention from both academia and industry to explore the vast underwater environment. Since UWSNs suffer from long propagation delay, low bandwidth, and high error rate, providing an efficient routing protocol is challenging. This paper proposes EEARP, a series of new routing protocols for underwater networks to improve the performance of existing DBR. The DBR does not consider energy. It only receives data packets from upper depth node and forwards the packets to lower depth nodes. Moreover, this greedy behavior of DBR causes void area problem. EEARP creates a directed acyclic graph rooted at a sink. Each node receives information like depth, energy, and the number of parents from its parents. When forwarding, each node sends a data packet to one or more of its parent nodes. We implemented EEARP in NS2 simulator and evaluated its performance under different scenarios. Results confirm that EEARP outperforms DBR in terms of energy saving, network lifetime, end-to-end delay and packet loss ratio.

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Book chapters on the topic "Energy-Efficient Routing (EER)"

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Yao, Xin-Wei, Ye-Chen-Ge Wu, Yuan Yao, Chu-Feng Qi, and Wei Huang. "EECR: Energy-Efficient Cooperative Routing for EM-Based Nanonetworks." In Lecture Notes in Computer Science, 30–38. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-30949-7_4.

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Joshi, Sachidananda S., and Sangappa Ramachandra Biradar. "EERP: Energy-Efficient Routing Protocol Performance Analysis of DSR and AODV for Mobile Adhoc Network." In Lecture Notes in Networks and Systems, 13–20. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-1624-5_2.

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Dey, Prasenjit, and Arnab Gain. "A Survey on Energy-Efficient Routing in Wireless Sensor Networks Using Machine Learning Algorithms." In Advances in Systems Analysis, Software Engineering, and High Performance Computing, 272–91. IGI Global, 2023. http://dx.doi.org/10.4018/978-1-6684-7524-9.ch015.

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Wireless sensor network (WSN) consists of sparsely distributed, low energy, and bandwidth sensor nodes that collect sensed data. In WSNs, these data are initially converted from analog to digital signals and transmitted to base stations. Routing in WSNs is the process of determining the most efficient path for data transmission among various sensor nodes. In routing, small sensor nodes use limited network bandwidth and energy to capture and transmit a limited amount of data. However, with the advancement of big data and IoT, large-scale sensors are used to route massive amounts of data. Routing with this huge data consumes a lot of network bandwidth and energy and thus reduces the lifespan of the network. Thus, for energy-efficient routing (EER), there is a need for data optimization that can be achieved by many machine learning (ML) algorithms. Many researchers have devised various noteworthy works related to ML to have an EER in WSNs. This chapter reviews the existing ML-based routing algorithms in WSNs.

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El Alami, Hassan, and Abdellah Najid. "EEA." In Sensor Technology, 735–52. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-7998-2454-1.ch035.

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The data communication task, in wireless sensor networks (WSNs), is a major issue of high energy consumption. A hierarchical design based on a clustering algorithm is one of the approaches to manage the data communication and save energy in WSNs. However, most of the previous approaches based on clustering algorithms have not considered the length of the data communication path, which is a direct relation to energy consumption in WSNs. In this article, a novel scheme of a clustering algorithm has been proposed for reducing the data communication distance in WSNs. Hierarchical routing protocols were implemented for homogeneous and heterogeneous networks. The results show that the proposed scheme is more efficient than other protocols.

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Ankur and Ajay K. Sharma. "Optimal Election Unequal Clustering Routing Protocol with Improved Tradeoff Function for Wireless Sensor Networks." In IoT-enabled Sensor Networks: Architecture, Methodologies, Security, and Futuristic Applications, 50–66. BENTHAM SCIENCE PUBLISHERS, 2024. http://dx.doi.org/10.2174/9789815049480124060006.

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In today's technological landscape, IoT-enabled Wireless Sensor Networks (WSNs) offer significant advantages over traditional networks, particularly when it is used under critical applications. However, network devices are typically limited in terms of their energy source; energy optimization has become a major concern in recent years. As a result, energy-efficient protocols are increasingly being prioritized to extend the network's functionality for a long period. In this chapter, we introduce a clustering routing protocol that operates on an unequal clustering basis. The protocol selects the best route for transmitting data to the sink based on various factors, such as the average residual energy of path sensor nodes, the average distance between nodes, the maximal distance nodes in the current path, and the number of hops. Our simulation results show that the proposed Optimal Energy Unequal Clustering Routing (OEUCR) protocol provides a significant improvement over the existing Energy Efficient Routing Protocol (EERP). Furthermore, we propose an optimal election clustering protocol that provides a new trade-off function based on near density factor and elect metric. Our simulation outcomes demonstrate that this protocol increases the network's functional duration by 6 rounds, reduces energy consumption by 0.727 J per round, and allows the base station to receive 975 more messages. Specifically, the packets received by the base station (BS) increased by 23%, while energy consumption decreased by 21% when using OEUCR instead of EERP.

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Conference papers on the topic "Energy-Efficient Routing (EER)"

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Banerjee, I., P. Chanak, B. K. Sikdar, and H. Rahaman. "EER: Energy Efficient Routing in Wireless Sensor Networks." In 2011 IEEE Students' Technology Symposium (TechSym). IEEE, 2011. http://dx.doi.org/10.1109/techsym.2011.5783808.

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Zhang, Haibo, and Hong Shen. "EEGR: Energy-Efficient Geographic Routing inWireless Sensor Networks." In 2007 International Conference on Parallel Processing (ICPP 2007). IEEE, 2007. http://dx.doi.org/10.1109/icpp.2007.37.

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Shah, Nasir Fareed, Amritanjali, Shefali Gautam, and D. Gosain. "EERA: Energy efficient reliable routing algorithm for WSN." In 2016 1st India International Conference on Information Processing (IICIP). IEEE, 2016. http://dx.doi.org/10.1109/iicip.2016.7975384.

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Yong, Ding, and Qin Xiao-Ming. "EERM: Energy Efficient Routing Metric for Wireless Sensor Networks." In 2010 First International Conference on Pervasive Computing, Signal Processing and Applications (PCSPA 2010). IEEE, 2010. http://dx.doi.org/10.1109/pcspa.2010.50.

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Muhammad, Nadeem Javaid, Sheraz Hussain, Taimur Hafeez, Hammad Maqsood, and Syed Zarar. "EEHR: Energy Efficient Hybrid Routing Protocol for Underwater WSNs." In 2015 10th International Conference on Broadband and Wireless Computing, Communication and Applications (BWCCA). IEEE, 2015. http://dx.doi.org/10.1109/bwcca.2015.86.

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Younus, Munazza, Abid Ali Minhas, M. Younus Javed, and Atif Naseer. "EEAR: Efficient Energy Aware Routing in wireless sensor networks." In Knowledge Engineering 2009). IEEE, 2009. http://dx.doi.org/10.1109/ictke.2009.5397333.

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ul Huque, Md Tanvir Ishtaique, Kumudu S. Munasinghe, Mehran Abolhasan, and Abbas Jamalipour. "EAR-BAN: Energy efficient adaptive routing in Wireless Body Area Networks." In 2013 7th International Conference on Signal Processing and Communication Systems (ICSPCS). IEEE, 2013. http://dx.doi.org/10.1109/icspcs.2013.6723991.

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Lee, Kyuhong, and Heesang Lee. "EECR: Energy efficient clustering and routing approach for wireless sensor networks." In 2011 Second Asian Himalayas International Conference on Internet (AH-ICI). IEEE, 2011. http://dx.doi.org/10.1109/ahici.2011.6113941.

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Zhang, Ming, Suoping Wang, Chao Liu, and Huibin Feng. "An Novel Energy-Efficient Minimum Routing Algorithm (EEMR) in Wireless Sensor Networks." In 2008 4th International Conference on Wireless Communications, Networking and Mobile Computing (WiCOM). IEEE, 2008. http://dx.doi.org/10.1109/wicom.2008.941.

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Antoo, Ashlyn, and A. Rameez Mohammed. "EEM-LEACH: Energy efficient multi-hop LEACH routing protocol for clustered WSNs." In 2014 International Conference on Control, Instrumentation, Communication and Computational Technologies (ICCICCT). IEEE, 2014. http://dx.doi.org/10.1109/iccicct.2014.6993070.

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